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recyclable, non-persistent thermoset resins based on their inherent reactivity. Applications include bio-based composites with natural fibers for durable goods. Designed to be recyclable and minimize
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relevant for today’s societal challenges including sustainability, climate change and natural hazards. The department’s research facilities are regarded as outstanding, while the department’s international
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Helgoland, Schleswig Holstein | Germany | 3 months ago
, particularly rising seawater temperatures, is amplifying the prevalence and virulence of animal-pathogenic Vibrionaceae, posing a growing risk not only to aquaculture production but also to natural shellfish
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transportation system which include compression and liquefaction. The impurities will pose a safety and lifetime estimation risk to the system as they are very corrosive. There is a need to expand the knowledge
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of geosciences. As part of the Helmholtz Association, Germany's largest research organisation, we address global challenges such as natural hazards, climate change and the sustainable use of resources. In doing so
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deep understanding of the emergent structures, self-assembly, and dynamics on the basis of physical principles. All these systems are ubiquitous in nature and in everyday practical applications and are
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by developing recyclable, non-persistent thermoset resins based on their inherent reactivity. Applications include bio-based composites with natural fibers for durable goods. Designed to be recyclable
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lipid signaling and metabolism drive disease—and innovate future therapies. PhD Position – Lipids and Cardiovascular Risk (LipidBRIGHT Doctoral Network) Our goal: To train the next generation of
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significant natural hazards in the United Kingdom, with increasing frequency and severity driven by climate change and urban expansion. Accurate and timely mapping of flood extent is critical for disaster
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on computational models that are inherently uncertain. Uncertainty quantification (UQ) seeks to characterize and propagate this uncertainty but translating it into actionable risk measures remains computationally